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- Tasks: Develop low-latency trading systems and collaborate with quants and traders.
- Company: Keyrock, a leading player in the digital assets space.
- Benefits: Flexible hours, remote work, and a focus on high-quality delivery.
- Other info: Exciting opportunities for problem-solving and career growth.
- Why this job: Join a dynamic team and make an impact in the digital trading world.
- Qualifications: Strong Rust skills, trading experience, and knowledge of AWS and Linux.
The predicted salary is between 60000 - 80000 £ per year.
Keyrock, a leading player in digital assets, is seeking a Rust Engineer with trading experience and AWS knowledge. This role involves developing low-latency trading systems and collaborating with quants and traders.
Ideal candidates will possess:
- Strong proficiency in Rust
- Prior trading background
- A good grasp of AWS and Linux systems
The position offers flexible hours and the option for remote work, with a focus on high-quality delivery and problem-solving.
Rust Trading Systems Engineer - Low-Latency, Remote & Flexible employer: Keyrock
Contact Detail:
Keyrock Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Rust Trading Systems Engineer - Low-Latency, Remote & Flexible
✨Tip Number 1
Network like a pro! Reach out to folks in the trading and tech space, especially those who work with Rust. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got any side projects or contributions to open-source Rust projects, make sure to highlight them. It’s a great way to demonstrate your expertise and passion.
✨Tip Number 3
Prepare for technical interviews by brushing up on low-latency systems and AWS. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Rust Trading Systems Engineer - Low-Latency, Remote & Flexible
Some tips for your application 🫡
Show Off Your Rust Skills: Make sure to highlight your proficiency in Rust right from the start. We want to see how you've used it in previous projects, especially in trading systems. Don't hold back on the details!
Trading Experience Matters: Since this role is all about low-latency trading, share any relevant experience you have in trading environments. We love to see how you've tackled challenges in fast-paced settings.
AWS and Linux Knowledge: If you've got experience with AWS and Linux, flaunt it! Mention specific tools or services you've worked with that relate to our needs. It’ll show us you’re ready to hit the ground running.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Keyrock
✨Know Your Rust Inside Out
Make sure you brush up on your Rust programming skills. Be prepared to discuss specific projects you've worked on, especially those related to low-latency systems. Practising coding challenges in Rust can also help you demonstrate your proficiency during the interview.
✨Understand Trading Systems
Since this role involves trading, it’s crucial to have a solid understanding of trading systems and strategies. Familiarise yourself with concepts like order types, market microstructure, and latency issues. Being able to speak knowledgeably about these topics will show that you’re not just a coder but someone who understands the trading landscape.
✨AWS and Linux Knowledge is Key
Don’t forget to highlight your experience with AWS and Linux systems. Be ready to discuss how you’ve used these technologies in past projects, particularly in relation to building or maintaining trading systems. If you can share specific examples of how you optimised performance or solved problems using these tools, that’ll definitely impress.
✨Show Your Problem-Solving Skills
This role emphasises high-quality delivery and problem-solving. Prepare to discuss challenges you’ve faced in previous roles and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it clear how your approach led to successful outcomes.